[Apr 21, 2026] DMF-1220 Practice Exam Dumps – 99% Marks In DAMA Exam [Q39-Q63]

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[Apr 21, 2026] DMF-1220 Practice Exam Dumps – 99% Marks In DAMA Exam

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NO.39 Two risks with the Matching process are:

False positives

False Certainties

False Negatives

False Uncertainties

NO.40 Please select the correct name for the LDM abbreviation

Logical Data Model

Logical Dimensional Model

Lifecycle Data Model

Lifecycle Dimensional Model

NO.41 Issue management is the process for identifying, quantifying, prioritizing, and resolving Data Governance issues. Which of the following are areas where that issues might arise:

Contract negotiations regarding data sharing & resolution of data quality issues

Documenting accounting procedures

Documenting physical assets

Authority and decision rights Change management escalations Meeting Compliance requirements

Conformance issues related to policies, standards and principles

NO.42 Metadata is described using a different set of categories, not including:

Descriptive metadata

Database metadata

Structural metadata

Administrative metadata

NO.43 The business glossary application is structured to meet the functional requirements of the three core audiences:

Data users

Application users

Innovation users

Business users

Data stewards

Technical users

NO.44 Data models are critical to effective management of data. They:

Provide a common vocabulary around data

Capture and document explicit knowledge about an organization’s data and systems

Serve as a primary communication tool during projects

Provide the starting point for customizations, integration or even replacement of an application

Provide the organisation with clear system of the architecture

Make the integration between data management and data analytics possible

NO.45 Where is the best place to find the following metadata: database table names, column names and indexes?

Logical data model

Security access authorisation

Database catalogue

Enterprise data model

Detailed business processes

NO.46 Normalisation is the process of applying rules in order to organise business complexity into stable data structures.

TRUE

FALSE

NO.47 Typically, DW/BI have three concurrent development tracks:

Data mart

Business Intelligence tools

Data

System development

Techonology

None of the above

NO.48 All metadata management solutions include architectural layers including:

Metadata Quality Assurance Testing

Metadata integration

Metadata usage

Metadata delivery

Metadata control and management

None of the above

NO.49 Deliverables in the Metadata Management context diagram include:

Metadata Strategy

Metadata Standards

Data Lineage

Metadata Architecture

Metadata design

Data storage and operations

NO.50 In data integration, the goal of data discovery is toc

Identify potential sources and assure data recovery processes are compliant

Identify key users and perform high level assessment of data quality

Assign data glossary terms and data formats

Identify potential sources and perform high-level assessment of data quality

Assien data plossary terms and canonical models

NO.51 Data quality rules and standards are a critical form of Metadat
a. Ti be effective they need to be managed as Metadata. Rules include:

None of the above

Tied to business impact

Document consistency

Accessible to all data customers

Hierarchical consistency

Confirmed by SMEs

NO.52 An advantage of a centralized repository include: High availability since it is independent of the source systems.

TRUE

FALSE

NO.53 Device security standards include:

Access policies regarding connections using mobile devices

Awareness of security vulnerabilities

Installation of malware software

Storage of data on fixed devices

NO.54 Which of the following are must-do for any successful Data Governance programme?

Create a communications plan to inform to all stakeholders what you are doing.

Ensure there is a Data Governance Policy with which everyone in the organization is required to comply.

Create a training programme for all for data owners and data stewards.

Set up a wiki for incorrect data definitions.

Allocate Data Ownership responsibilities according to their role in the organization.

NO.55 Do experts feel a Data Lake needs data management?

No, metadata might keep sensitive data out of the data lake, and analysts need all the data

Yes, metadata in a data lake prevents synchronization issues by providing both current state and history

Yes, metadata creates an inventory of the data as it is ingested into the data lake

No, a data lake should contain all the data whether it is inconsistent or not, otherwise data scientists don’ t have full insight into the data

No, a data lake should ingest streaming data without any restrictions

Data lakes require data management, particularly metadata, to ensure usability. The DAMA-DMBOK states:
“Data lakes need data management, including metadata to create an inventory of ingested data, enabling discovery, governance, and quality control” (DMBOK2, Chapter 4: Data Architecture, p. 161). Option C aligns with this. Options A, D, and E dismiss the need for management, and B is inaccurate about synchronization.
Reference:DAMA-DMBOK2, Chapter 4: Data Architecture, Section 5.3, p. 161.

NO.56 Please select the 2 frameworks that show high-level relationships that influence how an organization manages data.

Strategic Alignment Model

DAMA DMBOK Hexagon

DAMA Wheel

Amsterdam Information Model

NO.57 Which of the following is a Data Quality principle?

Prevention

Governance

Criticality

Standards Driven

All of these

Data quality principles encompass multiple aspects, including prevention, governance, and standards-driven approaches, as well as considering criticality in prioritizing efforts. The DAMA-DMBOK states: “Data quality principles include prevention (proactive measures to avoid errors), governance (oversight and accountability), standards-driven processes (consistency through defined rules), and criticality (prioritizing based on business impact)” (DMBOK2, Chapter 7: Data Quality, p. 263). Since all listed options are principles, E is correct.
Reference:DAMA-DMBOK2, Chapter 7: Data Quality, Section 2.2, p. 263.

NO.58 The advantage of a decentralized data governance model over a centralized model is:

The common metadata repository configurations

Having a common approach to resolving data governance issues

The easier implementation of industry data models

An increased level of ownership from local decision making groups

The cheaper execution of data governance operations

NO.59 A data governance strategy defines the scope and approach to governance efforts. Deliverables include:

Charter

Operating framework and accountabilities

Implementation roadmap

Plan for operational success

All of the above

None of the above

NO.60 Controlling data availability requires management of user entitlements and of structures that technically control access based on entitlements.

FALSE

TRUE

NO.61 Different types of product Master Data solutions include:

People Lifecycle Product Management (PLPM)

Product data in Manufacturing Execution Systems (MES)

None of the above

Product Data in Enterprise Resource Planning (ERP)

Product Lifecycle Management (PLM)

NO.62 Data Management maturity has many goals for accomplishment including having a positive effect on culture.
This is important to a Data Governance program for the following reason:

It is important to be able to assess the level of current state for each component against the Data Governance best practices to determine how readily the culture has accepted Data Governance

Data Governance does not affect the culture of the organization directly

It is important to have many goals so that you can show progress on some of the goals even if you can’t meet all of them

Data management maturity only has one goal

Best practices for data management are not the same as best practices for Data Governance

NO.63 Data replication can be active or passive.

TRUE

FALSE

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[Apr 21, 2026] DMF-1220 Practice Exam Dumps – 99% Marks In DAMA Exam [Q39-Q63]

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